Job Brief and Requirements • We are looking for a Machine Learning/Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. • Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques • NLP Skills/Tools: NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG etc., • Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. • Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. • Understanding of data creation. Develop highly scalable classifiers and tools leveraging machine learning and rules based models. • Work closely with product teams to implement algorithms that power user and developer-facing products. • Perform user research and evaluate user feedback.
The Product Strategist , will work with our customers to help identify challenges, focus business objectives and translates them into executable plans for our teams. This requires a broad understanding of business strategy, customer and user challenges, and technology. The Product Strategist defines what we are building and why we are building it. They will support the design and development teams in defining how we are executing the product developments, but not necessarily get into product development. Scoping and strategy experience are a must for this role. Role and Responsibilities: Develop and facilitate a strong relationship with our existing or prospective clients/industry Expert in visualizing the end to end solution, and build scalable and flexible products Own the discovery and ideation phase of product development Product roadmap and backlog management Product and feature definition and scoping Designing business models and GTM Designing long-term goals for producing products that sell Information architecture, content modelling, and taxonomy definition User Profile Development & User Flow Documentation Review and sign off on features & outcomes Customer relationship leadership, management, customer advocate, upselling
About us: We are an emerging Artificial Intelligence-based startup trying to cater to the need of industries that employ cutting-edge technologies for their operations. Currently, we are into and provide services to disruptive sectors such as drone tech, video surveillance, human-computer interaction, etc. In general, we believe that AI has the ability to shape the future of humanity and we aim to work towards spearheading this transition. About the role: We are looking for a highly motivated data scientist with a strong algorithmic mindset and problem-solving propensity. Since we are operating in a highly competitive market, every opportunity to increase efficiency and cut costs is critical and the candidate should have an eye for such opportunities. We are constantly innovating – working on novel hardware and software – so a high level of flexibility and celerity in learning is expected. Experience: 2 - 4 years Responsibilities: Design machine learning / deep learning models for products and client projects. Creating and managing data pipeline. Exploring new SOTA models and data handling techniques. Coordinate with software development teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Explore new promising technology and implement it to create awesome stuff. Technology stack: Must have: Python Pandas, Numpy Tensorflow, Pytorch Sklearn Good to have: Scipy Opencv Space, NLTK What’s in it for you: Opportunity to work on a lot of new cutting-edge technologies: We promise you rapid growth on your skillset by providing you with a steep learning curve. Opportunity to work closely with our experienced founding members who are experts in developing scalable practical AI products and software architecture development.
**12+ years of industry experience and minimum 5-6 years of relevant experience. Responsibility: Development of ASR engine using frameworks like DeepSpeech, Kaldi, wav2letter, Pytorch-Kaldi, CMU Sphinx Assist to define technology required for Speech to Text services besides core engine and to design integration of these technologies. Work on improvement of model's accuracy and guide the team with best practices. Lead a team of 3-5 members Desired experience: Good understanding of machine learning(ML) tools. Should be well versed in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc. Hands-on experience of current deep learning (DL) techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), etc used for speech processing is essential. The candidate should have hands-on experience with open source tools such as Kaldi, Pytorch-Kaldi. Familiarity with any of the end-to-end ASR tools such as ESPNET or EESEN or Deep Speech Pytorch is desirable. The candidate should have a good understanding of WFSTs as implemented in OpenFST and Kaldi and should be able to modify the WFST decoder as per the application requirements. Experience in techniques used for resolving issues related to accuracy, noise, confidence scoring etc. Ability to implement recipes using scripting languages like bash and perl Ability to develop applications using python, c++, Java
The Product Strategist, will work with our customers to help identify challenges, focus business objectives and translates them into executable plans for our teams. This requires a broad understanding of business strategy, customer and user challenges, and technology. The Product Strategist defines what we are building and why we are building it. They will support the design and development teams in defining how we are executing the product developments, but not necessarily get into product development. Scoping and strategy experience are a must for this role. Role and Responsibilities: Develop and facilitate a strong relationship with our existing or prospective clients/industry Expert in visualizing the end to end solution, and build scalable and flexible products Own the discovery and ideation phase of product development Product roadmap and backlog management Product and feature definition and scoping Designing business models and GTM Designing long-term goals for producing products that sell Information architecture, content modelling, and taxonomy definition User Profile Development & User Flow Documentation Review and sign off on features & outcomes Customer relationship leadership, management, customer advocate, upselling Skills Required: Understanding the lifecycle of digital projects Good understanding of BFSI, Citizen services, eCommerce, Healthcare industry Strong business acumen and conversant with product business models Experience in launching new products Experience in product discovery Experience in leading cross functional teams Working understanding of NLP and AI/ML technologies Hands-on experience in design and product management tools Experience working with a development team using both Agile and waterfall methodologies Comfort
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique
Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding Read and keep up with the research in Speech recognition, Machine Learning, Deep Learning Understand and implement research papers to the business problem and build the technology Contribute to applied research and open source community Mentor and guide team members
Machine Learning is hard, wide and tedious. Production Machine Learning, even more so. At Verloop, we consider ourselves engineers first with a focus of moving the needle and Deep Learning/NLP as a means to that. Our team is small, nimble and young. Our teammates includes FastAI Fellows, contributors to PyTorch, active open source contributors, a published author and a PyCon India 2019 Invited speaker. As a business, we are not dependent on Venture Capital for salaries, which come from revenues -- even post-COVID. Venture Capital helps us drive growth. That is one reason we focus on being small, excellent and nimble over moving fast and breaking things. We're looking for amazing Data Science folks who are looking to explore the Data Science Management career track. We hope your steady head to help the young hands execute and accomplish amazing things. What you might look like Worked on Natural Language Processing (or Computer Vision) Experience in Deploying ML Systems to Production Engineering mindset >> Research Mindset Between 3-7 years of ML experience
Python/Ml dev Min 3 years exp in Python development Have experience in NLP, Worked on NLP algorithms. Mongodb experience is addon.
Your responsibilities: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production You must have: Fundamentals of statistical methods is a must Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM A solid foundation in Python, data structures, algorithms, and general software development skills. Ability to apply machine learning to problems that deal with language Engineering ability to build robustly scalable pipelines Ability to work in a multi-disciplinary team with a strong product focus
JD : ML/NLP Tech Lead- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEdWHAT ARE WE BUILDING :- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. - We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.Required Skill sets :- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.- A deep hunger to learn, understand, and apply your knowledge to create technology.- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.- Good understanding of Algorithms and Data Structures.- Strong programming experience in C++/Java/Lisp/Haskell.- Good written and verbal communication.Desired Skill sets :- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)- Open Source Contribution (include the link to your projects, GitHub etc.)- Knowledge of functional programming.- International level participation in ACM ICPC, IOI, TopCoder, etc - International level participation in Physics or Math Olympiad- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.What can you expect :- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.- Learn effective engineering habits required to build/deploy large production-ready ML applications.- Ability to do quick iterations and deployments.- We would be excited to see you publish papers (though certain restrictions do apply).Website : http://Digitalaristotle.aiWork Location: - Bangalore
Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).Responsibilities:- Develop REST/JSON API’s Design code for high scale/availability/resiliency.- Develop responsive web apps and integrate APIs using NodeJS.- Presenting Chat efficiency reports to higher Management- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Developing Conversational Flows in the chatbot- Calculating Chat efficiency reports.Good to Have:- Monitors performance and quality control plans to identify performance. - Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices. - Works with management to prioritize business and information needs.- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Identifies, analyzes, and interprets trends or patterns in complex data sets.- Ability to manage multiple assignments.- Understanding of ChatBot Architecture.- Experience of Chatbot training
Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content. At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers. Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup. Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey. An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/
Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content. At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers. Founders:Vikas Goel - CEORaman Kishore - CTO We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup. Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey. An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/
We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Skills: Experience in predictive modelling and predictive software development Skilled in Java, C++, Perl/Python (or similar scripting language) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic optimisation (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Must Have: Experience: 3-9 years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Preferred experience with large data sets & distributed computing in Hadoop ecosystem Fluency with databases
Job Description The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches). Experiences in real- time collaboration is a plus. We're looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next. The ideal candidate has a strong mix of education and practical experience Responsibilities - Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers - Use NLP and ML techniques to bring order to unstructured data - Experience in extracting signal from noise in large unstructured datasets a plus - Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems - Work alongside an excellent, cross-functional team across Engineering, Product and Design Required Skills - Experience in applying machine learning techniques, Natural Language Processing or Computer Vision - Strong analytical and problem-solving skills - Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ - Problem solver - able to work independently, and be comfortable with deadlines and milestones - Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques - Strong communication skills and an easy going attitude - Proven ability to apply, debug, and develop machine learning models for real-world applications - Previous industry work experience required Preferred Skills - Familiarity with Git, MongoDB, RabbitMQ, Spark, NLTK, TensorFlow - Functional Programming - Experience with Natural Language Processing (NLP) - Experience building applications for the enterprise customer - Previous early-stage company experience is a plus